Latham (SWIM) Prepaid Assets (2020 - 2026)
Latham (SWIM) reported Prepaid Assets of $13.02 million for Q2 2026, up 14.9% from $11.34 million a year earlier and up 25.6% from the prior quarter.
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Analysis
Latham (SWIM) Prepaid Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Latham posted Prepaid Assets of $20.94 million, up 145.3% from FY2024.
- Prepaid Assets has increased for three consecutive years, with a five-year compound annual growth rate of 28.1% (FY2020 to FY2025).
- By year, Prepaid Assets came in at $8.54 million in FY2024 (+16.5%), $7.33 million in FY2023 (+22.2%), $6 million in FY2022 (-44.3%) and $10.77 million in FY2021 (+77.6%).
- Five-year quarterly Prepaid Assets spans a low of $5.97 million in Q3 2023 and a high of $20.94 million in Q4 2025.
- Year over year, Prepaid Assets has now increased in each of the last 11 quarters, with growth averaging 37.2% over the last eight quarters.
- The high point for year-over-year Prepaid Assets in five years was Q4 2025 (growth of 145.3%); the low point was Q4 2022 (a decline of 44.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $10.37 million (Q1 2026), $20.94 million (Q4 2025) and $9.41 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 104.14 Bn | 98.86 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 91.59 Bn | 89.32 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 49.30 Bn | 44.56 Bn | 844.23 Mn |
| 4 | Carrier Global | 46.68 Bn | 40.99 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 27.65 Bn | 24.06 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 15.30 Bn | 14.37 Bn | 548.70 Mn |
| 7 | Masco | 14.84 Bn | 12.70 Bn | 868.00 Mn |
| 8 | Carlisle Companies | 13.70 Bn | 10.04 Bn | 568.40 Mn |
| 9 | Allegion | 13.58 Bn | 12.29 Bn | 517.50 Mn |
| 10 | Latham | 743.63 Mn | 743.63 Mn | 70.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 13.02 Mn |
| Mar 28, 2026 | 10.37 Mn |
| Dec 31, 2025 | 20.94 Mn |
| Sep 27, 2025 | 9.41 Mn |
| Jun 28, 2025 | 11.34 Mn |
| Mar 29, 2025 | 8.36 Mn |
| Dec 31, 2024 | 8.54 Mn |
| Sep 28, 2024 | 9.37 Mn |
| Jun 29, 2024 | 9.43 Mn |
| Mar 30, 2024 | 7.00 Mn |
| Dec 31, 2023 | 7.33 Mn |
| Sep 30, 2023 | 5.97 Mn |
| Jul 1, 2023 | 6.91 Mn |
| Apr 1, 2023 | 6.58 Mn |
| Dec 31, 2022 | 6.00 Mn |
| Oct 1, 2022 | 8.11 Mn |
| Jul 2, 2022 | 9.89 Mn |
| Apr 2, 2022 | 11.58 Mn |
| Dec 31, 2021 | 10.77 Mn |
| Oct 2, 2021 | 10.68 Mn |
API Access
Latham Prepaid Assets API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=prepaid-assets&ticker=SWIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "ticker": "SWIM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=prepaid-assets&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();